Genome‐Wide Association Meta‐Analysis Reveals Novel Juvenile Idiopathic Arthritis Susceptibility Loci. Issue 11 (12th October 2017)

• Record Type: Journal Article
• Authors: McIntosh, Laura A.; Marion, Miranda C.; Sudman, Marc; Comeau, Mary E.; Becker, Mara L.; Bohnsack, John F.; Fingerlin, Tasha E.; Griffin, Thomas A.; Haas, J. Peter; Lovell, Daniel J.; Maier, Lisa A.; Nigrovic, Peter A.; Prahalad, Sampath; Punaro, Marilynn; Rosé, Carlos D.; Wallace, Carol A.; Wise, Carol A.; Moncrieffe, Halima; Howard, Timothy D.; Langefeld, Carl D.; Thompson, Susan D.
• Is Part Of: Arthritis & rheumatology. Volume 69:Issue 11(2017)
• Page Start: 2222
• Page End: 2232
• Publication Date: 2017-10-12
• Subjects: Arthritis -- Periodicals; Rheumatism -- Periodicals; 616.72
• DOI: 10.1002/art.40216
• Languages: English
• ISSNs: 2326-5191

Abstract

Abstract : Objective: Juvenile idiopathic arthritis (JIA) is the most common childhood rheumatic disease and has a strong genomic component. To date, JIA genetic association studies have had limited sample sizes, used heterogeneous patient populations, or included only candidate regions. The aim of this study was to identify new associations between JIA patients with oligoarticular disease and those with IgM rheumatoid factor (RF)−negative polyarticular disease, which are clinically similar and the most prevalent JIA disease subtypes. Methods: Three cohorts comprising 2, 751 patients with oligoarticular or RF‐negative polyarticular JIA were genotyped using the Affymetrix Genome‐Wide SNP Array 6.0 or the Illumina HumanCoreExome‐12+ Array. Overall, 15, 886 local and out‐of‐study controls, typed on these platforms or the Illumina HumanOmni2.5, were used for association analyses. High‐quality single‐nucleotide polymorphisms (SNPs) were used for imputation to 1000 Genomes prior to SNP association analysis. Results: Meta‐analysis showed evidence of association ( P < 1 × 10 −6 ) at 9 regions: PRR9 _ LOR ( P = 5.12 × 10 −8 ), ILDR1 _ CD86 ( P = 6.73 × 10 −8 ), WDFY4 ( P = 1.79 × 10 −7 ), PTH1R ( P = 1.87 × 10 −7 ), RNF215 ( P = 3.09 × 10 −7 ), AHI1 _ LINC00271 ( P = 3.48 × 10 −7 ), JAK1 ( P = 4.18 × 10 −7 ), LINC00951 ( P = 5.80 × 10 −7 ), and HBP1 ( P = 7.29 × 10 −7 ). Of these, PRR9_LOR, ILDR1_CD86, RNF215, LINC00951, and HBP1 were shown, for the first time, to be autoimmune disease susceptibility loci. Furthermore, associated SNPs included cis expression quantitative trait loci for WDFY4, CCDC12, MTP18, SF3A1, AHI1, COG5, HBP1, and GPR22 . Conclusion: This study provides evidence of both unique JIA risk loci and risk loci overlapping between JIA and other autoimmune diseases. These newly associated SNPs are shown to influence gene expression, and their bounding regions tie into molecular pathways of immunologic relevance. Thus, they likely represent regions that contribute to the pathology of oligoarticular JIA and RF‐negative polyarticular JIA.